ux-researcher-designer

Generate data-driven UX personas and journey maps from user research datasets.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/HoaiAn0906/Anki --skill ux-researcher-designer-hoaian0906
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ux-researcher-designer
Source: https://github.com/HoaiAn0906/Anki/tree/main/.cursor/skills/ux-researcher-designer
Command: npx skills add https://github.com/HoaiAn0906/Anki --skill ux-researcher-designer-hoaian0906

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Researchers and product teams spend excessive time turning raw user input into actionable personas and journey maps. This Skill automates persona generation, journey mapping scaffolds, and synthesis outputs from user data and interviews, saving time and improving consistency.

Core Features & Use Cases

  • Data-driven persona generation from user research data
  • Archetype identification, demographics aggregation, psychographics extraction
  • Scenarios, design implications, and actionable insights for UX design
  • Quick synthesis of interview insights into personas for faster stakeholder alignment

Quick Start

Provide a JSON dataset of user research and run the generator to produce a complete persona.

Frequently Asked Questions about ux-researcher-designer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate data-driven UX personas from user research data?

You generate data-driven UX personas by feeding a JSON dataset of user research and optional interview insights into the generator. It outputs a complete persona object with archetypes, demographics, behaviors, needs, and design implications.

Can I create journey maps from qualitative interview insights?

Yes, you can create journey maps by applying the tool to datasets of qualitative interview insights. It synthesizes raw user input to produce structured scenarios and actionable outputs for faster stakeholder alignment.

What is the best way to aggregate user archetypes and psychographics from usage logs?

The best way to aggregate user archetypes is to input your structured usage logs and qualitative insights. The system automatically extracts behaviors, psychographics, and motivations to produce consistent persona profiles.

Do I need a specific data format to automate persona generation?

You need to provide a structured JSON dataset of user research data to automate persona generation. The tool consumes this structured input along with optional interview insights to satisfy the required output format.

What limitations exist when synthesizing raw user input into design implications?

A limitation is that the tool requires structured user data rather than completely unstructured raw text. The accuracy of the extracted design implications, needs, and frustrations depends entirely on the quality of the input dataset provided.